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Model comparison

Phi-4 vs Qwen3.7 Max

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Microsoft
22.69/100
Margin
50.2pts
winning →
72.84/100
0 category wins0 category wins

Public leaderboard positions: Phi-4 #192 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Phi-4 and Qwen3.7 Max share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Phi-4; 47 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
11
Phi-4 only
0
Qwen3.7 Max only
47
Comparable categories
0 / 8

Benchmark data for Phi-4 and Qwen3.7 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Qwen3.7 Max has the larger context window at 1M, compared with 16K for Phi-4.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Phi-4 and Qwen3.7 Max
CategoryPhi-4ΔQwen3.7 Max
AgenticPhi-4Not measuredMarginNo overlapQwen3.7 Max69.7
CodingPhi-4Not measuredMarginNo overlapQwen3.7 Max77.9
ReasoningPhi-4Not measuredMarginNo overlapQwen3.7 Max90.4
KnowledgePhi-4Not measuredMarginNo overlapQwen3.7 Max64.2
MathPhi-4Not measuredMarginNo overlapQwen3.7 Max97.1
MultilingualPhi-4Not measuredMarginNo overlapQwen3.7 Max87.0
Inst. FollowingPhi-4Not measuredMarginNo overlapQwen3.7 Max84.4

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricPhi-4Qwen3.7 MaxComparison
Input / output priceUSD per 1M tokensPhi-4$0 input / $0 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondPhi-435 tok/sQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenPhi-42.02 sQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensPhi-416KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkPhi-4Qwen3.7 MaxResult
τ²-bench resultsSource 0%94.7%Qwen3.7 Max leads
Terminal-Bench 2.0Source 69.7%Not comparable
QwenClawBenchSource 64.3%Not comparable
QwenWebBenchSource 1568Not comparable
Claw-EvalSource 65.2%Not comparable
BFCL v4Source 75.0%Not comparable
MCP AtlasSource 76.4%Not comparable
VITA-BenchSource 47.9%Not comparable
HLE w/ toolsSource 53.5%Not comparable
AA Agentic IndexSource 30.6%Not comparable
GDPval-AASource 38.7%Not comparable
GDPval-AASource 1273Not comparable
Gert LabsSource 64.27%Not comparable
ResearchClawBenchSource 18.7%Not comparable
AA BriefcaseSource 908Not comparable
AA AutomationBenchSource 25.6%Not comparable
AA EnterpriseOps-GymSource 45.0%Not comparable
AA ITBenchSource 42.5%Not comparable
terminalBenchHardSource 50.8%Not comparable
aaTerminalBench21Source 74.5%Not comparable
AA Harvey LABSource 83.4%Not comparable
Coding
BenchmarkPhi-4Qwen3.7 MaxResult
AA-SciCodeSource 26.0%48.8%Qwen3.7 Max leads
SWE-bench VerifiedSource 80.4%Not comparable
SWE-bench ProSource 60.6%Not comparable
SWE MultilingualSource 78.3%Not comparable
NL2RepoSource 47.2%Not comparable
SciCodeSource 53.5%Not comparable
LiveCodeBenchSource 91.6%Not comparable
Terminal-Bench 2.0Source 69.7%Not comparable
AA Coding IndexSource 66.0%Not comparable
Reasoning
BenchmarkPhi-4Qwen3.7 MaxResult
AA-LCRSource 0.0%69.0%Qwen3.7 Max leads
CritPtSource 0.0%13.4%Qwen3.7 Max leads
MRCRv2Source 90.4%Not comparable
Knowledge
BenchmarkPhi-4Qwen3.7 MaxResult
Artificial Analysis Intelligence IndexSource 4.9%46.0%Qwen3.7 Max leads
AA-GPQA DiamondSource 57.5%92.3%Qwen3.7 Max leads
AA-HLESource 4.1%38.1%Qwen3.7 Max leads
AA-Omniscience IndexSource -56.7%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 13.2%30.1%Qwen3.7 Max leads
AA-Omniscience Hallucination RateSource 80.5%22.9%Qwen3.7 Max leads
GPQASource 92.4%Not comparable
GPQA-DSource 92.4%Not comparable
HLESource 41.4%Not comparable
MMLU-ProSource 89.6%Not comparable
MMLU-ReduxSource 95%Not comparable
SuperGPQASource 73.6%Not comparable
MMMLUSource 90.3%Not comparable
Math
BenchmarkPhi-4Qwen3.7 MaxResult
HMMT Feb 2026Source 97.1%Not comparable
IMOAnswerBenchSource 90.0%Not comparable
ApexSource 44.5%Not comparable
Multilingual
BenchmarkPhi-4Qwen3.7 MaxResult
MMLU-ProXSource 87%Not comparable
NOVA-63Source 59.0%Not comparable
INCLUDESource 86.2%Not comparable
MAXIFESource 89.2%Not comparable
PolyMathSource 86.5%Not comparable
Multimodal
BenchmarkPhi-4Qwen3.7 MaxResult
Design Arena WebsiteSource 1293Not comparable
Inst. Following
BenchmarkPhi-4Qwen3.7 MaxResult
AA-IFBenchSource 23.5%80.5%Qwen3.7 Max leads
IFEvalSource 94.3%Not comparable
IFBenchSource 79.1%Not comparable
Frequently Asked Questions (3)

Can I compare Phi-4 and Qwen3.7 Max on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Phi-4 and Qwen3.7 Max today?

Phi-4: $0.00 input / $0.00 output per 1M tokens Qwen3.7 Max: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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